Matthieu Jomier

Computer Vision and Pattern Recognition · 2001–2004

A researcher in the Science corpus: 2 papers; trusts 6 researchers and is trusted by 25 researchers here, as inferred from the citation graph.

Subfields

Whom Matthieu Jomier trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

  1. Michael I. Miller
  2. Brian B. Avants

Who trusts Matthieu Jomier overall

  1. Abdel Aziz Taha
  2. Zhuowen Tu
  3. Xiao Yang
  4. Xabier Artaechevarria
  5. Massimo Minervini
  6. William R. Crum
  7. Ingrid C. Sluimer
  8. Lucia H. S. Cevidanes
  9. Brian B. Avants
  10. Ben Glocker

Papers from Matthieu Jomier's perspective

Ordered by how strongly the researchers Matthieu Jomier trusts endorse each paper. Same corpus, a different order for every researcher.

  1. On the metrics and euler-lagrange equations of computational anatomy. (Annual Review of Biomedical Engineering)
  2. HAMMER: hierarchical attribute matching mechanism for elastic registration (IEEE Transactions on Medical Imaging)
  3. Group Actions, Homeomorphisms, and Matching: A General Framework (International Journal of Computer Vision)
  4. Geodesic estimation for large deformation anatomical shape averaging and interpolation. (NeuroImage)
  5. Valmet: A New Validation Tool for Assessing and Improving 3D Object Segmentation (International Conference on Medical Image Computing and Computer-Assisted Intervention)
  6. Average Brain Models: A Convergence Study (Computer Vision and Image Understanding)
  7. Level-set evolution with region competition: automatic 3-D segmentation of brain tumors (Object recognition supported by user interaction for service robots)
  8. Landmark matching via large deformation diffeomorphisms (IEEE Transactions on Image Processing)
  9. Computing Large Deformation Metric Mappings via Geodesic Flows of Diffeomorphisms (International Journal of Computer Vision)
  10. Simultaneous truth and performance level estimation (STAPLE): an algorithm for the validation of image segmentation (IEEE Transactions on Medical Imaging)

Their papers